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首页> 外文期刊>Electric power systems research >Application of wavelet analysis to the determination of partial discharge location in multiple-α transformer windings
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Application of wavelet analysis to the determination of partial discharge location in multiple-α transformer windings

机译：小波分析在多α变压器绕组局部放电位置确定中的应用

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摘要

The inner insulation system is a critical component of a power transformer. Its degradation may cause the device to fail while in service. If deterioration of the insulation system caused by Partial Discharge (PD) activity can be detected at an early stage, preventive maintenance measures can be taken. Due to the complex structure of power transformers, accurate locating of PD is not an easy task and is one of the main challenges in front of power utilities. Locating PD is more difficult in transformers with multiple-a windings. This problem comes to be vital in open access systems. A method for locating partial discharge within multiple-a windings is proposed, which is based on structural data of a transformer. A 66kV/25MVA transformer with fully interleaved winding and connected tap winding is used as test object. Wavelet transform is employed to process the partial discharge signals. Wavelet transform analysis method is a powerful tool for processing transients and non-stationary or time varying signals. Since the wavelet transform provides multi-scale analysis and time-frequency domain localization, it is particularly suitable to process the partial discharge signals. In order to improve the accuracy of the partial discharge location, a new technique for extracting Partial Discharge signals is introduced. Applying wavelet transform to a signal produces a wavelet detail coefficient distribution throughout the time-scale, which depends on the mother wavelet chosen. This technique is based on the capability of the chosen mother wavelet for generating coefficients with maximum values. The wavelet based de-noising method proposed in this paper can be successfully employed to extract PD pulse from the measured signal. It can provide enhanced information and further infer the original site of the PD pulse through capacitive ratio method. The method is described in details and the applications to determine the partial discharge location in multiple-a windings are explored.
机译：内部绝缘系统是电力变压器的关键组件。它的降级可能导致设备在使用过程中发生故障。如果可以在早期发现由局部放电（PD）引起的绝缘系统变质，可以采取预防性维护措施。由于电力变压器的复杂结构，PD的准确定位并不是一件容易的事，这是电力公司面临的主要挑战之一。在具有多个a绕组的变压器中，定位PD更加困难。这个问题在开放访问系统中变得至关重要。提出了一种基于变压器结构数据的多a绕组局部放电定位方法。将具有完全交错绕组和连接抽头绕组的66kV / 25MVA变压器用作测试对象。小波变换用于处理局部放电信号。小波变换分析方法是处理瞬态和非平稳或时变信号的强大工具。由于小波变换提供了多尺度分析和时频域定位，因此特别适合处理局部放电信号。为了提高局部放电位置的精度，引入了提取局部放电信号的新技术。将小波变换应用于信号会在整个时间范围内产生小波细节系数分布，这取决于所选的母小波。该技术基于所选母小波生成具有最大值的系数的能力。本文提出的基于小波的去噪方法可以成功地从被测信号中提取局部放电脉冲。它可以提供增强的信息，并通过电容比方法进一步推断出PD脉冲的原始位置。详细介绍了该方法，并探讨了确定多a绕组中局部放电位置的应用。

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